Data Allocation Committee Chair - AI Centre for Value Based Healthcare

at  Kings College London

Job id: 096286. Salary: Renumeration 2 PAs per month.
Posted: 04 October 2024. Closing date: 27 October 2024.
Business unit: Faculty of Life Sciences & Medicine. Department: London Inst. for Healthcare Engineering.
Contact details: Sigal Hachlili. sigal.hachlili@gstt.nhs.uk
Location: St Thomas’ Campus. Category: Professional & Support Services.
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Background
The AI Centre for Value Based Healthcare is pioneering AI technology for the NHS. AI improves healthcare by helping to deliver earlier diagnosis and better treatment based on accumulated learning far beyond even the most experienced clinician.
AI will help the NHS increase efficiency, improve therapies, drive safety, and reduce costs all of which benefit patients, medical staff, and the wider society. It is one of the most exciting and inspiring areas of healthcare currently being researched and developed, and it’s our mission, at the AI Centre, to spearhead innovation and opportunities for the NHS both now and in the future.
We are a team of AI, data science, research, and clinical experts working collaboratively across academic institutions, the NHS and industry organisations. Our consortium of partners include: 10 NHS Trusts, 4 Universities and 17 Industry partners.
By focusing on AI and advanced imaging, we will improve patient care by diagnosing conditions earlier and tailoring treatment to a particular patient using intelligent systems. Based within St Thomas’ Hospital MedTech Hub, we are currently working on several live AI projects.
About the Data Allocation Committee (DAC)
The Data Allocation Committee will evaluate any request for data usage, data processing and/or access for research use, including both industrial and/or academic access to data to ensure it complies with our HRA and ethical approvals and can be managed in accordance with Data Protection Legislation.
The DAC may audit projects before, during and after completion as required, and all datasets with small numbers may be audited before publication by default.
The DAC will meet approximately every 5-6 weeks, 8-10 meetings a year.
Role Description
The Data Allocation Committee (DAC) will evaluate any request for data usage, data processing and/or access for research use, including both industrial and/or academic access to data to ensure it complies with our HRA and ethical approvals and can be managed in accordance with Data Protection Legislation.
The DAC may audit projects before, during and after completion as required, and all datasets with small numbers may be audited before publication by default.
Time Commitment & Renumeration:
Time commitment is estimated as 12-15 days annually.
Renumeration: 2 PAs per month.
Suitable for existing clinical leaders with research experience.
Key Responsibilities
The DAC is a key component of the AI Centre’s objectives. The DAC have overall responsibility for compliance with Data Protection legislation and AI Centre ethics approvals. The Committee is comprised of senior information governance members, clinicians, academics, and patients – from the NHS trusts in the AI Centre consortium. This includes: GSTT, KCH, Imperial, UCLH, Lewisham & Greenwich, East Kent and West Sussex.
The DAC Chair is responsible for guiding this committee through new questions in healthcare AI drawing from the expertise in the committee. It is not essential to have an understanding of AI, data protection, or ethics, but to have an understanding of the NHS and senior stakeholder management. Therefore, the role would suit someone who has worked in the NHS in a clinical role for at least 10 years, has held a senior NHS position, and has experience of implementing Patient and Public Involvement strategies.
The DAC Chair will be supported by the AI Ethics and Governance Lead who will manage the day-to-day of the AI Centre’s research governance, including the DAC. The AI Ethics and Governance Lead with draft agendas for your approval, prepare documentation and brief you for every DAC meeting.
Key Working relationships
Director, AI Centre for Value-based Healthcare
Research and Ethics Lead - AI Centre for Value-based Healthcare
Team of AI Centre for Value-based Healthcare at KCL, GSTT, KCH
Members of the DAC, including but not limited to:

Caldicott Guardian from NHS Trusts

• Information Governance Representation from NHS Trusts
• Patient Representation, PPI, patient groups
• Ethics holders from NHS Trusts
• Research leads from NHS Trusts
• Data teams from NHS Trusts
• Clinical leads from NHS Trusts

Commercial, legal and contract teams from NHS Trusts
Person Specification
Experience:
Working in the NHS in a clinical role for at least 10 years
Working in NHS at a senior/ executive level
Knowledge and wide experience of of clinical research
Chairing a group of senior stakeholders
Experience of implementing PPI strategies
Desirable: leading an organizational change project
Personal qualities:
Ability to ask difficult questions
Strategic and Objective outlook, able to consider the outlook of different priorities including academic, public, clinical and private.
Leadership
Integrity
Awareness of EDI in theory and practice (ensuring diverse involvement in meetings)
Comfortable with having challenging conversations with senior leaders to approve / reject ethics applications.
How to apply
Applicants will need to submit a cover letter (highlighting their experience/suitability for the post) and a recent CV to Sigal Hachlili (sigal.hachlili@gstt.nhs.uk).

Please refer the Job description for details